Few computer technologies have tremendously occupied the IT market. These new technologies in computer science have overridden the ongoing practices by replacing them with revolutionary ideas/concepts. Experts consider them the future technologies in computer science.
Today’s latest technology in the computer is evolving rapidly, enabling faster change and progress, causing an acceleration of the rate of change. However, it is not only advanced technologies in computer science that are evolving. A lot more has changed during the past two years due to the outbreak of COVID-19, making IT professionals realize that their role will not stay the same in the contactless world tomorrow. And an IT professional in 2022-23 will constantly be learning, unlearning, and relearning (out of necessity if not desire).
What are the Future Technologies?
Staying current with the new technology of computers means keeping your eyes on the future to know which skills you will need to secure a safe job tomorrow and even learn how to get there. Most of the global IT population sits back, working from home, all bows to the worldwide pandemic. And if you wish to make the most of your time at home, here are the top 7 emerging trends of information technology you should watch for and make an attempt at in 2022 and possibly secure one of the jobs that the list of computer technologies will create:
- Mobile Computing
- Artificial Intelligence
- Cloud Computing
- Edge Computing
- Blockchain technology
- Internet of Things (IoT)
- Data Centers
- Data Centers
These 7 emerging technologies have brought many facilities to our lives by minimizing human effort. Moreover, these trends have added new dimensions to science and technology, as they have broadened our angle of observation.
This term refers to different small-sized portable devices allowing people to access data/information from anywhere around the globe via a wireless network system.
In addition, these devices run on batteries and operate due to several computer programs such as an operating system, language processors (compilers and interpreters), etc.
Examples of Mobile Computing Devices
Popular mobile computing devices are:
- Netbook computers
- Tablet computers
- Personal Digital Assistants (PDAs)
- Portable data terminals, etc.
Since these devices have fewer functionalities than laptops and PCs, we prefer notebooks and PCs to mobile computing devices.
As the term indicates, Artificial Intelligence is the exhibition of intelligence by machines. It is one of the latest advanced computer technologies bringing revolution to the planet. Moreover, we can define it as:
“It is the simulation of human intelligence processes by computer systems. These processes include thinking, learning, translating, and perceiving.”
AI has already received a lot of buzz in the past decade, but it continues to be one of the new technology trends because its notable effects on how we live, work, and play are only in the early stages. AI is already known for its superiority in image and speech recognition, navigation apps, smartphone personal assistants, ride-sharing apps, etc.
AI is the development of the ability to think, perceive, and learn in artificial systems. The aim is to make them help humans in performing different tasks.
Does artificial intelligence have a future?
The man will use AI to analyze interactions to determine underlying connections and insights. Moreover, AI will help predict demand for services like hospitals, enable authorities to make better decisions about resource utilization, and detect customer behavior patterns by analyzing data in near real-time, driving revenues and enhancing personalized care experiences.
The AI market will grow to a $190 billion industry by 2025, with global spending on cognitive and AI systems reaching over $57 billion in 2022. With AI spreading its wings across sectors, new jobs will be created in development, programming, testing, support, and maintenance, to name a few. On the other hand, AI also offers some of the highest salaries today, ranging from over $1,25,000 per year (machine learning engineer) to $145,000 per year (AI architect) – making it the top new technology trend you must watch out for!
Machine Learning, the subset of AI, is also being deployed in industries, creating a massive demand for skilled professionals. Forrester predicts that AI, machine learning, and automation will create 9 percent of new U.S. jobs by 2025. These jobs will include robot monitoring professionals, data scientists, automation specialists, and content curators, making it another new technology trend you must keep in mind. Too!
Mastering AI and machine learning will help you secure jobs like:
- AI Research Scientist
- Machine Learning Engineer
- AI Architect
- AI Engineer
Examples of Artificial Intelligence Systems
- Smart Assistants (e.g., Cortana in Microsoft Windows 10)
- Manufacturing robots
- Self-driving cars
- Virtual travel booking agent.
- Social media monitoring.
- Disease mapping, etc.
It is the most common among the future technologies in computer science, based on the SAS (Software as a Service ) model. It means you can get the system as a service provided and maintained by another company instead of installing and managing your computer software at your workplace. Hence, you can perform your computing tasks through access to the service over the Internet. It does not make any difference where the actual hardware and software are. It will be somewhere just in the cloud. In this way, it is a way of outsourcing your computing requirements. And there are many advantages as well as disadvantages of cloud computing.
Cloud computing has become mainstream, with significant players AWS (Amazon Web Services), Microsoft Azure, and Google Cloud Platform dominating the market.
Advantages of using cloud computing
The advantage of such new computer technology is that you don’t have to buy and maintain a complex computer system. For this reason, it reduces the expense of purchasing computers and peripherals. Besides, you won’t need to worry about the hardware or equipment going out of date or the problems relating to system security and reliability.
What are the disadvantages of cloud computing?
However, the disadvantage of cloud computing is that it needs a reliable high-speed broadband connection functioning the whole time you are working. Moreover, there always exists a security and privacy risk of having valuable data/information on someone else’s computer in an unknown location.
Companies Providing Cloud Computing Services
Companies that offer Cloud Computing services are:
- Citrix Systems, etc.
The adoption of cloud computing is still growing as more and more businesses migrate to a cloud solution. But it’s no longer the emerging technology trend, but the Edge is.
As the number of data organizations are dealing with continues to increase, they have realized the shortcomings of cloud computing in some situations. Edge computing is designed to help solve some of those problems to bypass the latency caused by cloud computing and getting data to a data center for processing. Instead, it can exist “on edge,” closer to where computing needs to happen. For this reason, we can use edge computing to process time-sensitive data in remote locations with limited or no connectivity to a centralized location. In those situations, edge computing can act like mini Data Centers.
As the Internet of Things (IoT) devices increase, Edge computing will increase. By 2022, the global edge computing market is expected to reach $6.72 billion. And we expect this new technology trend to grow and nothing less, creating various jobs, primarily for software engineers.
Keeping in line with cloud computing (including new-age Edge and quantum computing) will help you grab excellent jobs like:
- Cloud Reliability Engineer
- Cloud Architect and Security Architect
- DevOps Cloud Engineer
- Cloud Infrastructure Engineer
Although most people think of blockchain technology concerning cryptocurrencies such as Bitcoin, Blockchain offers applicable security in many other ways. It is revolutionary and one of the emerging future technologies in computer science.
“A Blockchain, in actual, is a database that stores data in the form of blocks that are then chained together.”
We can describe the Blockchain as data you can only add to, not take away from, or change. Hence the term “chain” because you’re making a chain of data. Not being able to change the previous blocks makes it so secure. In addition, blockchains are consensus-driven, so no one entity can take control of the data. With Blockchain, you don’t need a trusted third party to oversee or validate transactions.
Blockchain differs from typical database systems in the way of storing information. When new data comes, the system enters it as a new block. When a block gets filled with data, the system chains it with the previous block in chronological order. Hence, we can store different types of information on a blockchain, but the most well-known use has been as a ledger for transactions.
Several industries are involved in implementing Blockchain. Moreover, as Blockchain technology increases, the demand for skilled professionals also increases. From a bird’s-eye view a blockchain developer specializes in developing and implementing architecture and solutions using blockchain technology. The average yearly salary of a blockchain developer is ₹469000.
If you are intrigued by Blockchain and its applications and want to make your career in this trending technology, this is the right time to start. To get into Blockchain, you need hands-on experience with programming languages, the fundamentals of OOPS, flat and relational databases, data structures, web app development, and networking.
Internet of Things (IoT)
Another new computer science technology is IoT. Many things are now being built with WiFi connectivity, meaning they can be connected to the Internet—and each other. Hence, the Internet of Things, or IoT. The Internet of Things is the future and has enabled devices, home appliances, cars, and much more to connect to and exchange data.
IoT refers to the interconnection of computer networks with physical devices to collect and share data. Thus, we can equip the routinely used devices with wireless connectivity. Then, we embed them with sensors (to detect natural stimuli), microphones, cameras, actuators, and many other instruments. As a result, these instruments enable our devices to collect and exchange data. Moreover, household gadgets need very few modifications to work in an IoT system. For this reason, experts have designed them in a way that they can interact with human beings via wireless connectivity. Therefore, we call them smart devices.
The present example of using the Internet of Things
Smart Home is a popular application of the Internet of Things system.
As consumers, we are already using and benefitting from IoT. For example, we can lock our doors remotely if we forget when we leave for work and preheat our ovens on our way home while tracking our fitness on our Fitbits. However, businesses also have much to gain now and soon.
Future scope of the Internet of Things
Someone may wonder, “Does IoT have a future?” However, we expect IoT will allow us to switch on AC before reaching home or switch off lights when we leave in the future. Additionally, there are homes equipped with different electronic gadgets that we can control remotely with a computer or a smartphone using IoT technology.
IoT can also enable better safety, efficiency, and business decision-making as data is collected and analyzed. In addition, it can allow predictive maintenance, speed up medical care, improve customer service, and offer benefits we have not imagined yet.
We are only in the beginning stages of this new technology trend: Forecasts suggest that around 2030, around 50 billion of these IoT devices will be in use worldwide, creating a massive web of interconnected devices spanning everything from smartphones to kitchen appliances. The global spending on the Internet of Things (IoT) is forecast to reach 1.1 trillion U.S. dollars in 2022.
Moreover, suppose you wish to step foot in this new computer technology. In that case, you will have to learn about Information Security, AI with Machine Learning fundamentals, Networking, Hardware Interfacing, Data Analytics, Automation, understanding of embedded systems, and must have Device and Design knowledge.
Data Center is a centralized location for gathering, housing, processing, and distributing vast raw and processed data. Therefore, it constitutes routers, servers, switches, and equipment for backup storage. In addition, a data center requires air conditioning, smoke detection, fire suspension, and security entry.
Need for Data Center
A student of Information Technology may wonder why a data center is essential. Data centers are the need of the hour. The organizations such as banks, government agencies, educational institutions, telecommunication companies, and social networking services collect and use a large amount of data. Thus, they always need to house their information in data centers.
How do Future Technologies in Computer Science offer more opportunities to earn?
Future computer science technologies include Mobile Computing, Blockchain, Artificial Intelligence, Cloud and Edge computing, IoT, and Datacenters. They contain a vast amount of accommodation for researchers since these are the emerging trends in information technology.
We see only a few AI Engineers, Blockchain developers, cloud experts, and Data Scientists compared to the developers of other technologies, i.e., web and app developers, etc. It shows very little research has been done in these areas depicting no saturation here. These areas possess a lot of potential for someone to progress.
In contrast, when we look at the other computer technologies, we find every second or third IT student is a developer and expert in web, android, gaming, and desktop applications. So, we may say that AI, Blockchain, Cloud and Edge computing, IoT, and Datacenters are the future technologies in computer science. Their emergence truly depicts the evolution of technology in the modern era.
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